UCAV自发育认知导航理论与关键技术研究

项目名称： UCAV自发育认知导航理论与关键技术研究

项目编号： No.61273048

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 吴德伟

作者单位： 中国人民解放军空军工程大学

项目金额： 80万元

中文摘要： UCAV作为能够远离操控基站的无人作战平台，智能自主导航是其适应复杂作战环境的核心支撑技术之一。为满足UCAV导航对环境感知与交互能力、自主学习能力、意识处理能力以及自主发育特性等方面的需求，解决目前UCAV智能导航研究范式尚未建立、生存环境感知能力亟待增强、组合导航不具备与环境交互能力等问题，本项目将认知概念和自主心智发育理论引入UCAV智能自主导航，模拟人类认知发育的开放、终身、在线强化的环境交互过程，开展自发育认知导航理论与关键技术研究，突破自发育认知导航结构设计、战场未知环境感知、自发育认知图构建、仿人同步定位与地图构建等关键问题，建立UCAV认知导航理论，提出UCAV认知导航方法，为实现UCAV智能自主导航提供理论和技术支撑。本项目的预期研究成果不仅能促进无人机导航向智能化、自主化方向发展，而且能为其它无人作战平台智能自主导引提供技术参考，具有十分重要的理论意义和实用价值。

中文关键词： 认知导航；自主发育；环境感知；认知图；

英文摘要： Intelligent autonomous navigation is one of the key supporting techniques to face the complex battlefield environment of Unmanned Combat Aerial Vehicles (UCAV) as an unmanned combat flatform that can be far from the control base station. It needs the requirements for UCAV in the aspects of entironment sensing and interactive ability, autonomous learning ability, consciousness ability and autonomous development trait. However, there are several counterchecking problems, such as the research paradigm for UCAV intelligent autonomous navigation having not been established, the ability to percept living surroundings needing to be enhanced, current intergrated navigation lacking the ability of entironment interaction. Therefore, we will introduce cognition concept and autonomous mental development (AMD) theory into UCAV intelligent navigation to simulate an open-ended, life-long, online and enhanced environment interaction of human cognition growth, and make in-depth research on the theory and key techniques of the autonomous developmental cognitive navigation (ADCN). We will mainly break through the key issues of ADCN architecture designing, battlefield awareness in unknown environment, autonomous developmental cognitive map (ADCM) building and high-precision positioning by humanoid SLAM (simulitaneous location and m

英文关键词： Cognitive Navigation；Autonomous Development；Environment Perception；Cognitive Map；